• Data engineering Overall, I have 3+ years of experience in the IT industry and mainly in SQL, Python and Cloud services (AmazonWeb Services).• Hands-on experience with AWS Services like as S3, Lambda, Glue, Athena, RDS & IAM.• Experience in creating New Pipeline, Glue Job, Lambda functions in Amazon web services (AWS).• Having experience in all stages of the project including requirements gathering, designing & documenting architecture, development, and performance optimization, Data Extraction, Data Validation, and Reporting.• Uploaded and processed terabytes of data from various structured and unstructured sources into HDFS Having extensive experience with Spark SQL, Spark streaming includes a tune-up of the Spark applications.• Strong desire to move forward, face new challenges, and expand my skill set. • Having good expertise in Hadoop tools like MapReduce, HiveQL, Sqoop, and Spark, Hbase,Oracle • In-depth understanding of Spark Architecture including SparkCore, SparkSql, and Data frames. • Hands-on experience in various big data application phases like data processing, analytics • Experience in creating tables, partitioning, bucketing, loading and aggregating data• Experience on working with cloud services like Amazon Web Services (S3, AWS Glue, Lambda Function, RDS, Athena etc.) • Good Communication, collaboration and team interactive skills with proficiency at grasping new concept quickly.